클라이언트: AuditBoard, Inc.
양식: 보고서
크기: 2.88MB
언어: 영어
날짜: 22.10.2025
The Risk Intelligence Report: Your strategic roadmap for ERM maturity
Today’s ongoing AI adoption and increased risk complexity demand a faster, more connected approach for organizations to succeed. AuditBoard’s inaugural Risk intelligence report reveals how leaders turn governance into a strategic advantage. Drawing on first-of-its-kind platform telemetry and survey data, this report offers the benchmarks you need to escape the “middle maturity trap” and align your people, processes, and technology for greater resilience.
AI is the defining test of risk maturity today. Its volatility — rapid experimentation followed by dips in acceptance — makes it the frontline dimension where ambition is highest but execution is most fragile. Enterprises are navigating a risk environment that is more complex and interconnected than ever before. AI is simultaneously the greatest opportunity and the sharpest governance challenge facing enterprises today.
This inaugural Risk intelligence report offers a new benchmark for the state of enterprise risk. It draws on two complementary datasets: proprietary AuditBoard platform telemetry and survey data from 400+ risk leaders.
On the intent side, 53% of enterprises report implementing AI-specific tools, 39% plan to expand AI and machine learning skills, and 70% expect to increase risk management staffing over the next two years. Nearly half are updating frameworks. Yet on the behavior side, telemetry shows inconsistency:
AI is the defining test of risk maturity today. Its volatility — rapid experimentation followed by dips in acceptance — makes it the frontline dimension where ambition is highest but execution is most fragile. Enterprises are navigating a risk environment that is more complex and interconnected than ever before. AI is simultaneously the greatest opportunity and the sharpest governance challenge facing enterprises today.
This inaugural Risk intelligence report offers a new benchmark for the state of enterprise risk. It draws on two complementary datasets: proprietary AuditBoard platform telemetry and survey data from 400+ risk leaders.
On the intent side, 53% of enterprises report implementing AI-specific tools, 39% plan to expand AI and machine learning skills, and 70% expect to increase risk management staffing over the next two years. Nearly half are updating frameworks. Yet on the behavior side, telemetry shows inconsistency:
- AI adoption surged in May and June, only to dip in July as acceptance rates fell and decision times lengthened.
- Collaboration spiked in July, then faded.
- Risk logging produced bursts of action plans, but not always backed by consistently logged risks or issues.
This volatility defines what we have described as a "middle maturity trap." Two-thirds of enterprises remain siloed in structure, systems, or decision-making. They achieve activity, but not reliability. By contrast, leaders distinguish themselves through stronger alignment of people, processes, governance, and technology. They embed risk into board-level agendas, sustain collaboration through regular cadence, and treat risk logging as a discipline rather than an option.
The evidence is clear: governance, ownership, and cadence, not just investment, separate leaders from laggards. Enterprises that escape this trap convert activity into foresight, turning risk management into their competitive advantage. Download your copy of the full report to dive deeper into these insights and get a strategic framework for risk intelligence maturity.
